Prashanth Wagle
Graduate Student Researcher at UVA Biocomplexity Institute- Claim this Profile
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English Full professional proficiency
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Kannada Full professional proficiency
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Hindi Limited working proficiency
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Konkani Limited working proficiency
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Bio
Aditya Pai
Prashanth is a dedicated coder with a deep knowledge of Linux based operating systems and networks. His practical experience in IoT, cloud based systems and app development makes him compatible with teams working on cutting-edge tech in fast paced environments.
Aditya Pai
Prashanth is a dedicated coder with a deep knowledge of Linux based operating systems and networks. His practical experience in IoT, cloud based systems and app development makes him compatible with teams working on cutting-edge tech in fast paced environments.
Aditya Pai
Prashanth is a dedicated coder with a deep knowledge of Linux based operating systems and networks. His practical experience in IoT, cloud based systems and app development makes him compatible with teams working on cutting-edge tech in fast paced environments.
Aditya Pai
Prashanth is a dedicated coder with a deep knowledge of Linux based operating systems and networks. His practical experience in IoT, cloud based systems and app development makes him compatible with teams working on cutting-edge tech in fast paced environments.
Experience
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UVA Biocomplexity Institute
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United States
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Research Services
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1 - 100 Employee
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Graduate Student Researcher
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Sep 2022 - Present
At the Social and Decision Analytics Division at the UVA Biocomplexity Institute, I worked as a Software Developer where I developed the open-source software package required for data presentation for the open-knowledge repository to the stakeholders using JavaScript.I also collaborated with data scientists for improving the data science pipeline in the perspective of a software developer ★ Overhauled legacy components and eliminated code dependencies, resulting in a 36% performance… Show more At the Social and Decision Analytics Division at the UVA Biocomplexity Institute, I worked as a Software Developer where I developed the open-source software package required for data presentation for the open-knowledge repository to the stakeholders using JavaScript.I also collaborated with data scientists for improving the data science pipeline in the perspective of a software developer ★ Overhauled legacy components and eliminated code dependencies, resulting in a 36% performance increase ★ Improved the rendering performance of the web components by 25-60 ms by profiling and analyzing using DevTools
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Data Science Intern
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May 2023 - Aug 2023
As a Data Science Intern at the Biocomplexity Institute, I mostly worked with Python in constructing a comprehensive dataset of 60k records from varuious sources and formulated statistical models to track the economic activities of minority-owned businesses across the Fairfax County, enabling inclusive policymaking for local governments. ★ Enhanced identification of businesses, yielding a 35% enhancement over other industry standard datasets ★ Led coordination and mentorship of… Show more As a Data Science Intern at the Biocomplexity Institute, I mostly worked with Python in constructing a comprehensive dataset of 60k records from varuious sources and formulated statistical models to track the economic activities of minority-owned businesses across the Fairfax County, enabling inclusive policymaking for local governments. ★ Enhanced identification of businesses, yielding a 35% enhancement over other industry standard datasets ★ Led coordination and mentorship of undergrad interns, driving the enhancement of an open-knowledge repository for longitudinal business activity monitoring, eliminating costly manual surveys
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ETHNUS
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India
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Higher Education
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100 - 200 Employee
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Software Engineer | R&D
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Sep 2020 - Aug 2022
As a software engineer at the startup, I worked on on the entire software stack of the enterprise web applications (fullstack) and on the DevOps side of things. Here, I Engineered full stack web apps, automations, and event driven and RESTful serverless APIs on Amazon Web Services using JavaScript, React, Node.js and Python. ★ Optimized serverless computing functions to improve API response times and achieve performance gains of 17% to 32% ★ Integrated existing and new APIs into a… Show more As a software engineer at the startup, I worked on on the entire software stack of the enterprise web applications (fullstack) and on the DevOps side of things. Here, I Engineered full stack web apps, automations, and event driven and RESTful serverless APIs on Amazon Web Services using JavaScript, React, Node.js and Python. ★ Optimized serverless computing functions to improve API response times and achieve performance gains of 17% to 32% ★ Integrated existing and new APIs into a Single Signon Dashboard, thus consolidating internal operations of the company ★ Automated bulk document generation for a key business domain, enhancing efficiency and reducing failure rates by 20%, while collaborating with cross-functional teams to improve the workflow ★ Engineered Infrastructure as Code for the cloud architecture and migrated logic to serverless, resulting in reduced cost and management and deployment efforts
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Software Developer Intern
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Jan 2020 - Sep 2020
★ Initiated development of Single-Sign-On system for employee and client management ★ Consolidated and modified existing APIs into an internal dashboard, reducing task completion time by 33% ★ Automated recording, distribution, and management of online meetings and lecture sessions through webhooks and SDKs
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Unisys
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Research Intern
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Sep 2019 - Aug 2020
★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on… Show more ★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on the test dataset. Show less ★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on… Show more ★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on the test dataset. Show less
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National Institute of Technology Karnataka
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Higher Education
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700 & Above Employee
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Summer Intern
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Jun 2019 - Jul 2019
★ Spearheaded the development of an indoor navigation system using Bluetooth beacons. ★ Implemented safety features for buildings and proximity marketing using the novel BLE technology. ★ Developed an Android app that enables navigation in indoor commercial spaces ★ Spearheaded the development of an indoor navigation system using Bluetooth beacons. ★ Implemented safety features for buildings and proximity marketing using the novel BLE technology. ★ Developed an Android app that enables navigation in indoor commercial spaces
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Education
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University of Virginia
Master of Science - MS, Computer Science -
Nitte Meenakshi Institute of Technology
Bachelor of Engineering - BE, Information Technology